Albert Poulose, Ph.D.

Software

Research software and prototypes for transient stability assessment (TSA), critical clearing time (CCT) screening, and grid digital twins. Some items are published; others are still in progress.

Available

PINN-TSA

A unified physics-informed neural network (PINN) that predicts single-machine infinite-bus (SMIB) rotor-angle trajectories and is reused for TSA screening and surrogate-assisted CCT search, compared against ANDES time-domain references.

  • Inputs: Operating point, machine parameters, clearing time
  • Outputs: δ(t), TSA result, surrogate-assisted CCT
  • Validated against: ANDES time-domain references
  • Stack: Python · PyTorch · ANDES
  • Status: Research prototype · Published
Paper Code Project
In progress

CCT Screening Toolkit

Research prototype for repeating CCT studies across contingencies, aimed at planning-oriented screening rather than protection-grade timing.

MATLAB · Python

Project
Planned

Grid Digital Twin Framework

A measurement-informed workflow that would refresh a dynamic model, query physics-informed surrogates, and return TSA/CCT margins for operator-facing screening.

Phasor measurement unit (PMU) analytics · surrogates

Project